Practical Multivariate Analysis training seminars presented by Burke Institute register now on FindaSeminar.com

findaseminar logo balls FindaSeminar.com
event search registration and marketing services since 2002
Advanced Search
 
 

** NOTE: All April seminars are live Virtual or Online click to view events.

Practical Multivariate Analysis  

 Email information about this seminar Practical Multivariate Analysis by Burke Institute to yourself your manager or associates Email this event... View and register for other training seminars like Practical Multivariate Analysis by Burke Institute on FindaSeminar.com Find similar training.. Find and register for other training seminars by Burke Institute on FindaSeminar.com Other seminars from Burke Institute

By:

training seminars by Burke Institute Burke Institute   

For:

Research analysts, consultants, marketing specialists, project managers

Cost:   

see Registration info for seminar cost, group discount etc.

Seminar Summary:

In this seminar you will learn how to select and interpret the best multivariate technique for analyzing the complex relationships between many variables typically encountered in marketing research studies.  (see full course description)

 

 Seminar / Training class dates & locations

 

No seminar dates for this event are currently scheduled.  Please use the seminars search box above or choose one of the following additional training search options to find similar training.

marketing+research+regression+MDS+correspondence+conjoint+DCM+CHAID+Logit+canonical+statistical+data+analytical+perceptual+mapping+discrete+analysis+pricing+probability+quantitative training seminars workshops conferences online training

Providers course catalog

Find seminars by state

Find seminars by city

Request on site training

Use Advanced Search

NEW  Don't miss training you want to attend

Receive a personal Training Alert when training you want to attend comes to your area. Create a personal Training Alert now  it's Free and only takes a minute!


 

 

 

share this page 

print the agenda print agenda for the Practical Multivariate Analysis seminar

 

 

Training Course Syllabus:


Practical Multivariate Analysis

What you will learn:

In this 3-day seminar, totally devoid of matrix notations or derivations, you will learn how to select and interpret the best multivariate technique for analyzing the complex relationships between many variables typically encountered in marketing research studies. You will learn:
What multivariate techniques are, what they do and when to use them.

How to choose between Regression, Discriminant, Factor, Cluster, M.D.S., Correspondence, Conjoint, DCM, CHAID, Logit, Canonical and other techniques to answer specific management questions from your research data.

Which statistical packages perform each of the analysis and how to get started.

What type of data are required for each technique, what analytical options are available and what assumptions must be made.

How to interpret multivariate results and communicate what they reveal to management.

 

Practical Multivariate Analysis Course Outline and Schedule

 

----- First Day -----

 

08:30 AM - 08:45 AM Introduction of Participants

 

08:45 AM - 10:30 AM Session 1


CASE STUDIES AND APPLICATIONS OF MULTIVARIATE TECHNIQUES


What is multivariate analysis?
Why do we need multivariate analysis?
Range of problems addressed by multivariate techniques
Advantages over simpler approaches
Marketing case studies illustrating the use of various multivariate techniques


10:30 AM - 10:45 AM Break


10:45 AM - 12:30 PM Session 2


OVERVIEW OF UNDERLYING CONSIDERATIONS


A structured framework of seven charts to help select the best analytical techniques for specific marketing research applications
Univariate, bivariate vs. multivariate analysis
Understanding levels of measurement: nominal, ordinal, interval, and ratio data
Basics of statistical Inference
Understanding variance and basic measures of data
The types of analysis done by marketing research analysts: summarizing data, detecting difference, and studying associations
Correlation and covariance


12:30 PM - 01:45 PM Lunch Break


01:45 PM - 03:15 PM Session 3


SELECTING THE MOST APPROPRIATE MULTIVARIATE TECHNIQUES FOR SPECIFIC MARKETING RESEARCH APPLICATIONS


Flowchart to help select the best techniques
Statistical packages for multivariate analysis
Team Workshop: Selecting the most appropriate multivariate techniques for several applications
A comprehensive case study of using multivariate techniques in a real-life setting


03:15 PM - 03:30 PM Break


03:30 PM - 05:00 PM Session 4


MULTIPLE REGRESSION ANALYSIS: FUNDAMENTAL CONCEPTS


Applications of regression
Conceptual understanding of regression
Interpretation of computer regression output
Understanding and dealing with multicollinearity
Part and partial correlations and what they tell us
Understanding and using Stepwise Regression


----- Second Day -----


08:30 AM - 10:30 AM Session 5


IMPROVING REGRESSION MODELS


Assumptions of the regression model
How to find and deal with violations of those assumptions, including residual analysis
Data transformations, modeling interactions, and other improvements to the regression model


10:30 AM - 10:45 AM Break


10:45 AM - 12:15 PM Session 6


SPECIALIZED REGRESSION TECHNIQUES FOR CATEGORICAL VARIABLES


Case study exercise
Dummy variable regression (DVR): incorporating nominal predictor variables
MCA, an “easier to use” version of DVR
Logistic regression: what it is, how to run it, how to evaluate the results


12:15 PM - 01:30 PM Lunch Break


01:30 PM - 03:15 PM Session 7


CONJOINT ANALYSIS:


What is conjoint analysis and why is it useful
Case study illustrating the use of conjoint analysis
Disjoint vs. conjoint vs. hybrid approaches
Designing conjoint studies
An extensive conjoint example: how to interpret the results
Analyzing conjoint results
Market simulation using conjoint results


03:15 PM - 03:30 PM Break


03:30 PM - 05:00 PM Session 8


DISCRETE CHOICE MODELING


What it is and how it differs from conjoint analysis
A comprehensive case study illustrating the design analysis and interpretation of DCM
Using DCM simulation results
Using interactions in DCM
Interpretation of computer outputs from DCM/CBC


----- Third Day -----


08:30 AM - 10:15 AM Session 9


DISCRIMINANT ANALYSIS


Uses of discriminant analysis for discrimination and classification
Description and practical examples of two-group and multiple discriminant analysis
Stepwise discriminant analysis
Use of discriminant analysis in Segmentation Assignment Algorithms


10:15 AM - 10:30 AM Break


10:30 AM - 12:15 PM Session 10


FACTOR ANALYSIS


Factor Analysis: what it is, how it works, and what it’s used for
Performing PCA/factor analysis: inputs and outputs
How Principal Components Analysis differs from exploratory factor analysis
Practical considerations in performing factor analysis
Case studies illustrating use of PCA/FA in marketing research


12:15 PM - 01:30 PM Lunch Break


01:30 PM - 03:00 PM Session 11


CLUSTER ANALYSIS


What cluster analysis is used for
Hierarchical cluster analysis: how it works, how to run it.
Interpreting computer outputs
K-means cluster analysis: how it works, suggestions for running it effectively
Application to segmentation example
Other forms of cluster analysis including LCA


03:00 PM - 03:15 PM Break


03:15 PM - 05:00 PM Session 12


MULTIVARIATE PERCEPTUAL MAPPING TECHNIQUES


Appropriateness of various perceptual mapping techniques for specific types of data
Vector and point-based maps
Producing perceptual maps
Interpreting maps
Illustrative case studies


----- Fourth Day -----


08:30 AM - 10:00 AM Session 13


PATH ANALYSIS AND STRUCTURAL EQUATION MODELING (CSA AND PLS)


Alternative procedures for deriving attribute importance
Comparison of correlation, regression, path analysis, SEM and other approaches
The basic ideas and notation of structural equation modeling (SEM)
CSA and PLS approaches to SEM, their interpretation, pros and cons
Basics for applying both methods in marketing research
Case studies demonstrating how SEM provides actionable information for better marketing research decision making


10:00 AM - 10:15 AM Break


10:15 AM - 12:15 PM Session 14


DATA MINING TOOLS


Exploratory vs. explanatory multivariate techniques
CHAID, CART and other tree-based techniques
Case studies of their use in marketing research
Neural Networks
Illustrative case studies


12:15 PM - 01:30 PM Lunch Break


01:30 PM - 03:00 PM Session 15

 

LATENT CLASS AND HIERARCHICAL BAYESIAN ANALYSIS


Latent Class Cluster Analysis
Latent Class Regression
Latent Class Discrete Choice
HB for Conjoint and DCM

Illustrative case studies


03:00 PM - 03:15 PM Break


03:15 PM - 04:30 PM Session 16


LINKING MULTIVARIATE TECHNIQUES TO MARKETING DECISIONS


The analysis planning process
Translating data into information and finally decisions
A comprehensive case study workshop illustrating the analysis planning process
Demonstration of how to present results from a complex study employing multivariate analysis to decision makers


04:30 PM - 04:45 PM Concluding Remarks
 

What Past Participants Have Said About This Seminar

Verbatim evaluations from participants who have attended the "Practical Conjoint Analysis and Discrete Choice Modeling" seminar. Names of evaluators have been left out as a matter of professional courtesy.


An excellent, outstanding seminar. I have learned a tremendous amount about multivariate analysis techniques and feel I can apply this to my job immediately. Superb speaker ... raises examples, continually makes you think and try to apply the techniques you're learning.
Scientist
Kimberly-Clark

Excellent seminar. Thoroughly enjoyed the whole class. Summarizing the techniques on one page was a key part of the success. Content exactly fit the requirements I based the course selection on.
Statistician
Weyerhaeuser Products Co.

Excellent focus on understanding uses rather than derivation! Valuable for all levels of previous understanding. On target. Speaker did an excellent job of maintaining focus on application, even though his background/ experience allowed a much more technical, in-depth treatment.
Consumer Analysis Manger
General Motors

Great, very patient and interesting speaker. The material was laid out well to give the big picture first, then the techniques. I especially thought that the chart that showed the various techniques was the best. It helped me have a framework for when I would employ each technique.
Consumer Research Analyst
Ocean Spray Cranberry, Inc.

The best statistical seminar I've been in. Great speaker.
Marketing Research Manager
General Mills

I found this seminar to be tremendously helpful to me. It was a fantastic overview of all the research techniques available – as well as each technique’s application in answering business objectives.
Manager
GlaxoSmithKline

Wow! A tremendous amount of information condensed into 4 days with just the right level of depth on each technique/procedure. Seems like a semester’s worth of content.
Manager
Frito-Lay

Excellent seminar! Very practical, real-life research oriented – will definitely recommend.
Analyst
Jupiter Media Metrix

The seminar was very useful, particularly for enhancing existing knowledge, introducing new concepts and for giving a high-level view of various analyses.
Research Manager
Principal Financial Group

Seminar Summary:

In this seminar you will learn how to select and interpret the best multivariate technique for analyzing the complex relationships between many variables typically encountered in marketing research studies.  (see full course description)

print this agenda print agenda for the Practical Multivariate Analysis training seminar

 view dates and locations for this seminar

 

 

 

Custom Search